Admixture-Rechner

Global Ancestry K24 2021 with Jewish Populations

Global Ancestry K24 is a modern-era admixture calculator that decomposes your genome into 24 regional reference populations across Africa, Europe, Asia, Oceania, and the Americas. Ideal for curious consumers, genealogists, and researchers, it delivers fine-scale ancestry proportions, highlights migration signals, and connects genetic patterns to historical events — with clear caveats about interpretation.

24 Komponenten
World Zielregion
DNA Genics Autor
Modern Epoche
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Rechnerdetails

Umfassende Informationen zu diesem Admixture-Rechner

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DNA Genics

Ersteller des Rechners

Über diesen Rechner

Global Ancestry K24 (Modern)

Global Ancestry K24 is a high-resolution admixture calculator that estimates genome-wide ancestral proportions using a curated panel of 24 modern and ancient-informed reference populations. It analyzes contributions from major global regions — Africa, Europe, Asia, Oceania, and the Americas — and distinguishes fine-scale clusters such as European Jewish, Finland_Northwest_Russia, Near_East, and Africa_Southcentral_Hunter_Gatherers.

Who it's for

  • Individuals with modern genotype data (chip or sequencing) curious about detailed regional ancestry
  • Genealogists and family historians seeking deeper context beyond country-level labels
  • Researchers and educators who want an intuitive breakdown that connects genetics to migration history

What you learn

  • Percentage ancestry across 24 reference populations (e.g., Benin_Togo, Iberian_Peninsula, Asia_South, Melanesia)
  • Relative affinities that highlight recent and ancient admixture events
  • Signals that can suggest historical processes (Bantu expansions, Eurasian steppe and farmer movements, transcontinental contact, indigenous American and Oceanian contributions)

Context and method K24 is built from carefully chosen reference groups to capture geographic and historical structure. The calculator uses model-based clustering to assign portions of an individual’s genome to these reference clusters, providing an interpretable snapshot of genetic ancestry in a modern context.

Why it matters

  • Granular: distinguishes neighboring European, African, and Asian sources that broader tools may conflate
  • Educational: links genetic signatures to known migration and demographic events
  • Practical: useful for personal curiosity, hypothesis testing, and cross-validating other ancestry results

Important notes Results are estimates dependent on the reference panel and sample quality. Small percentages may represent deep shared ancestry or modeling noise. Interpret results as one line of evidence among

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Referenzpopulationen

Die in diesem Rechner als genetische Referenzen verwendeten Populationen

24 Referenzpopulationen

Africa

  • North Africa: Populations from the northern region of the African continent.
  • Africa_Southcentral_Hunter_Gatherers: Indigenous groups traditionally living as hunter-gatherers in south-central Africa.
  • Africa_Southeastern_Bantu: Populations primarily associated with Bantu-speaking groups in southeastern Africa.
  • Benin_Togo: Ethnic populations from the West African regions of Benin and Togo.
  • Cameroon_Congo: Populations from the central African regions of Cameroon and Congo.
  • Ivory_Coast_Ghana: Ethnic groups native to the regions of Ivory Coast and Ghana in West Africa.
  • Mali: Populations from the West African country of Mali.
  • Nigeria: Diverse ethnic groups from the West African nation of Nigeria.
  • Senegal: Ethnic populations from the West African country of Senegal.

Asia

  • Asia_Central: Populations residing in the central part of Asia.
  • Asia_East: People from the eastern region of Asia including countries like China, Japan, and Korea.
  • Asia_South: Populations from the southern part of Asia, including regions such as India and Pakistan.

Europe

  • Caucasus: Ethnic groups from the Caucasus region, straddling Eastern Europe and Western Asia.
  • Europe_East: Populations from Eastern European countries.
  • European_Jewish: Jewish communities primarily from Europe.
  • Finland_Northwest_Russia: Populations from Finland and the northwest region of Russia.
  • Great_Britain: People from the island comprising England, Scotland, and Wales.
  • Iberian_Peninsula: Populations from the regions of Spain and Portugal.
  • Ireland: People native to the island of Ireland.
  • Italy_Greece: Populations from Southern European countries Italy and Greece.
  • Scandinavia: Ethnic groups from the Nordic countries, primarily Sweden, Norway, and Denmark.

Oceania

  • Melanesia: Indigenous people from the Melanesian region in the Pacific, including Fiji, Papua New Guinea, etc.

Americas

  • Native_American: Indigenous populations of the Americas.

Middle East

  • Near_East: Populations from the region encompassing Western Asia and parts of North Africa.
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Admixture-Analyse verstehen

Erfahren Sie, wie Admixture-Rechner arbeiten und wie Sie Ihre Ergebnisse einordnen

Was ist eine Admixture-Analyse?

Bei einer Admixture-Analyse wird Ihre genetische Ähnlichkeit geschätzt, indem Ihr DNA mit Referenzpopulationen aus verschiedenen Weltregionen verglichen wird. Die Komponenten des Modells stehen für diese Referenzen und hängen von den zugrunde liegenden Daten und Annahmen ab.

Dieser Rechner nutzt 24 sorgfältig ausgewählte modern Populationen als Referenzen und ermöglicht eine detaillierte Darstellung Ihrer genetischen Ähnlichkeit.

So funktioniert es

  • Ihr DNA wird mit 24 Referenzpopulationen verglichen
  • Modern-Populationen dienen als genetische Referenzen
  • Die Ergebnisse zeigen Ihre genetische Ähnlichkeit zu diesen Populationen
  • Ein vielfältiges Referenzpanel verbessert die Schätzungen

Ihre Ergebnisse verstehen

Ihre Ergebnisse zeigen Prozentsätze der genetischen Ähnlichkeit zu diesen Referenzpopulationen. Beachten Sie diese Punkte:

  • Die Ergebnisse spiegeln genetische Ähnlichkeit wider, nicht nachgewiesene direkte Abstammung
  • Modern-Populationen werden als Referenzen verwendet
  • Die Prozentsätze geben relative Beiträge im Modell an
  • Die Ergebnisse sind Schätzungen auf Basis der verfügbaren Referenzdaten